Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

Dataset: 80% C4 (Web Text) and 20% Python Code

Neuron 1609 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0124. Min Act: -0.0002

Data Index: 835538 (C4 (Web Text))

Max Activating Token Index: 5

Text #1

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Max Act: 0.0120. Min Act: -0.0002

Data Index: 769189 (C4 (Web Text))

Max Activating Token Index: 4

Text #2

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Data Index: 1104440 (C4 (Web Text))

Max Activating Token Index: 6

Text #3

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Max Act: 0.0120. Min Act: -0.0002

Data Index: 390294 (C4 (Web Text))

Max Activating Token Index: 6

Text #4

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Max Act: 0.0120. Min Act: -0.0002

Data Index: 346476 (C4 (Web Text))

Max Activating Token Index: 8

Text #5

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Data Index: 249613 (C4 (Web Text))

Max Activating Token Index: 5

Text #6

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Max Activating Token Index: 6

Text #7

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Max Activating Token Index: 4

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Max Activating Token Index: 7

Text #9

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Max Activating Token Index: 3

Text #10

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Max Activating Token Index: 4

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Max Activating Token Index: 9

Text #12

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Max Activating Token Index: 8

Text #13

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Data Index: 344314 (C4 (Web Text))

Max Activating Token Index: 4

Text #14

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Max Activating Token Index: 4

Text #15

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Text #16

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Max Activating Token Index: 4

Text #17

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Max Activating Token Index: 4

Text #18

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Max Activating Token Index: 4

Text #19

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Max Act: 0.0107. Min Act: -0.0002

Data Index: 523363 (C4 (Web Text))

Max Activating Token Index: 4